Radiant AI Cloud Model Registry vs TrueFoundry AI Gateway
Radiant AI Cloud Model Registry
docs.ori.coTrueFoundry AI Gateway
truefoundry.comSide by side
| Figure | Radiant AI Cloud Model Registry | TrueFoundry AI Gateway |
|---|---|---|
| Price from | — | $25/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 9 |
| Spec score · Model Registry Software | 6.7 (#23) | 8.6 (#4) |
| Spec score · Model registries | 6.8 (#31) | 9.1 (#5) |
| Purpose | Radiant AI Cloud’s Model Registry is a centralized repository for managing, versioning, and preparing custom AI models for deployment. | TrueFoundry AI Gateway sits between applications and model providers to manage AI model access, routing, governance, observability, security and cost controls. |
| Support | RAIC support resources include documentation, community discussions, a platform status page, and a support case portal. | The listed support options are an in-app chatbot and Discord for Developer, a support portal for Pro, and priority support, SLA and a dedicated Slack channel for Enterprise. |
Plans
TrueFoundry AI Gateway
- DeveloperFree
- DeveloperFree
- Pro$25 a month
- Pro$499 a month
- Pro Plus$2,999 a month
- TrueFoundry Pro (AWS Marketplace)$6,250 a month
- TrueFoundry Enterprise (AWS Marketplace)$12,500 a month
- TrueFoundry On-Prem (AWS Marketplace)$16,666.66 a month
- EnterprisePriced on request
In their own words
Radiant AI Cloud Model Registry
Radiant AI Cloud Model Registry has no write-up on Specifiction yet; its figures are above.
TrueFoundry AI Gateway
TrueFoundry AI Gateway sits between applications and model providers to manage model access, routing, governance, observability, security, and cost controls. Its unified API supports chat, completion, embedding, and reranking models. TrueFoundry says the gateway connects to more than 1,000 LLMs across more than 35 platforms, including OpenAI, AWS Bedrock, Google Vertex AI, Azure OpenAI, and Anthropic. Routing options include latency-based selection, weighted load balancing, and automatic fallbacks. The service tracks token usage, latency, errors, and request volumes, and supports centrally stored request and response logs. Teams can set rate limits and cost or token quotas, with role-based access controls. MCP connections include tools such as Slack, GitHub, Confluence, and Datadog, with policies for tool calls. Deployment includes SaaS, with VPC, on-premises, and air-gapped options for Enterprise. Developer is free; Pro costs $25 a month, billed per user. Developer includes 10,000 requests per user monthly, while Pro includes 20,000 and charges $20 per additional 100,000 requests.